A robust decision-support method based on optimization and simulation for wildfire resilience in highly renewable power systems

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dc.contributor.authorTapia, Tomas
dc.contributor.authorLorca, Alvaro
dc.contributor.authorOlivares, Daniel
dc.contributor.authorNegrete-Pincetic, Matias
dc.contributor.authorLamadrid L, Alberto J.
dc.date.accessioned2025-01-20T22:20:25Z
dc.date.available2025-01-20T22:20:25Z
dc.date.issued2021
dc.description.abstractWildfires can pose a major threat to the secure operation of power networks. Chile, California, and Australia have suffered from recent wildfires that have induced considerable power supply cuts. Further, as power systems move to a significant integration of variable renewable energy sources, successfully managing the impact of wildfires on the power supply can become even more challenging due to the joint uncertainty in wildfire trajectories and the power injections from wind and solar farms. Motivated by this, this paper develops a practical decision-support approach that concatenates a stochastic wildfire simulation method with an attacker-defender model that aims to find a worst-case realization for (i) transmission line and generator contingencies, out of those that can potentially be affected by a given wildfire scenario, and for (ii) wind and solar power trajectories, based on a max-min structure where the inner min problem represents a best adaptive response on generator dispatch actions. Further, this paper proposes an evaluation framework to assess the power supply security of various power system topology configurations, under the assumption of limited transmission switching capabilities, and based on the simulation of several wildfire evolution scenarios. Extensive computational experiments are carried out on two representations of the Chilean power network with up to 278 buses, showing the practical effectiveness of the proposed approach for enhancing wildfire resilience in highly renewable power systems.
dc.description.abstract(c) 2021 Elsevier B.V. All rights reserved.
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.ejor.2021.02.008
dc.identifier.eissn1872-6860
dc.identifier.issn0377-2217
dc.identifier.urihttps://doi.org/10.1016/j.ejor.2021.02.008
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/94623
dc.identifier.wosidWOS:000654955500021
dc.issue.numero2
dc.language.isoen
dc.pagina.final733
dc.pagina.inicio723
dc.revistaEuropean journal of operational research
dc.rightsacceso restringido
dc.subjectOR in energy
dc.subjectPower system resilience
dc.subjectDecision-support systems
dc.subjectMixed-integer optimization
dc.subjectWildfires
dc.subject.ods07 Affordable and Clean Energy
dc.subject.odspa07 Energía asequible y no contaminante
dc.titleA robust decision-support method based on optimization and simulation for wildfire resilience in highly renewable power systems
dc.typeartículo
dc.volumen294
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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